Cuong Chi Tran

About

Dr. Cuong Chi Tran is a leading researcher in robotics and intelligent control systems, with a primary focus on enhancing the autonomy and precision of mobile robotic platforms. His most cited work, "Optimizing the structure of RBF neural network-based controller for Omnidirectional Mobile Robot control" (2017), introduces a groundbreaking method that synergizes particle swarm optimization (PSO) with radial basis function neural networks (RBFNN). By using PSO to dynamically determine the optimal number of neurons and network parameters, Dr. Tran effectively overcomes the traditional limitations of RBFNN, such as slow convergence and local minima. This innovation has yielded a highly adaptive and robust controller for omnidirectional mobile robots, directly improving their trajectory tracking and stability in complex environments. Garnering 5 citations, this paper has established a foundational approach for integrating evolutionary algorithms with neural control, influencing subsequent research in autonomous navigation and adaptive robotics. Dr. Tran’s work is particularly notable for its practical application, bridging theoretical optimization with real-world robotic performance.

Research Focus

Key Achievements

Top Papers

1. 1
   Optimizing the structure of RBF neural network-based controller for Omnidirectional Mobile Robot control

   5 citations · 2017

Key Collaborators

Contact & Links